code: def kl_divergence_exact(q, r, w):  # pylint: disable=unused-argument
      """Exact KL Divergence."""
      return kl_lib.kl_divergence(q, r)
  
file_path: probability/tensorflow_probability/python/experimental/nn/losses/losses.py
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.experimental.nn import layers
  from tensorflow_probability.python.experimental.nn import variational_base
  from tensorflow_probability.python.internal.reparameterization import FULLY_REPARAMETERIZED
  from tensorflow_probability.python.monte_carlo.expectation import expectation
label_desc: Use image node_id 2 for calling a global function with example usage: kl_divergence_exact(q, r, w) and returns: kl_lib